6 дней назад
Senior Healthcare Data Analyst (AI)
140 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Healthcare Data Analyst (AI): Transforming medical and institutional claims into canonical models and trusted payment integrity insights with an accent on healthcare coding, data quality, and claims adjudication. Focus on validating large-scale SQL and Spark SQL pipelines, identifying overpayment patterns, and building AI-assisted workflows with data engineering, clinical, and product teams.
Location: Remote - US; must work from within the United States
Salary: $140,000–$170,000 base salary per year, plus equity
Company
provides an AI-powered healthcare intelligence platform that helps health plans improve claims auditing, payment integrity, transparency, and financial outcomes.
What you will do
- Design transformations that convert raw professional and institutional claims, including 837 EDI, UB-04, and CMS-1500 data, into canonical models.
- Apply ICD-10-CM/PCS, CPT, and HCPCS coding standards throughout claims processing.
- Audit data quality, troubleshoot pipeline issues, and validate outputs end to end with SQL and Spark SQL.
- Identify overpayment patterns, coordination-of-benefits issues, billing edits, and payment integrity opportunities.
- Drive AI-assisted analysis and pipeline development by iterating with LLMs and identifying manual processes for automation.
- Support client data-feed onboarding and partner with data engineers, data scientists, clinical staff, and product managers.
Requirements
- 5+ years of direct experience with healthcare claims data, including 837 EDI, encounter data, or medical billing.
- Deep knowledge of professional and institutional claims, ICD-10-CM/PCS, CPT, HCPCS, UB-04, and CMS-1500.
- Hands-on experience with payment integrity, overpayment detection, coordination of benefits, billing edits, or claims-editing logic.
- Advanced SQL skills and practical knowledge of data modeling for analytics.
- Familiarity with CMS regulations, commercial payer guidelines, and claims adjudication.
- Bachelor’s degree in business, computer science, health informatics, or a related field.
Nice to have
- Knowledge of MS-DRG/APR-DRG pricing, fee schedules, per diem, or capitation.
- Proficiency with Spark SQL or a comparable distributed query engine.
- Experience with ETL/ELT pipeline development or collaboration with data engineers on pipeline design.
- Exposure to value-based care or risk adjustment, including HCC coding and RADV.
Culture & Benefits
- Digital-first, remote work environment within the US.
- Flexible and trusting working environment with strong employee ownership.
- Medical, dental, and vision coverage for employees and families.
- Unlimited flexible time off.
- 401(k) with employer match, equity, and additional benefits.
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